How much does B.A.P - COFFEE SHOP M/V make on YouTube?

B.A.P - COFFEE SHOP M/V ยท by TSENT2008

Estimated lifetime YouTube ad earnings
$13,824
on 9,216,109 views ยท ~$1.50 creator RPM
Per 1,000 views
$1.50
Per 1M views
$1,500
Recent month
$9

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$1.50/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10โ€“30ร— lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
45,939
45.94K
Total Estimated Earnings
$68.91
~$1.50 RPM
Avg per Month
$0.00

Peak Performance

๐Ÿ† Best Month -
$0.00
0 views
๐Ÿ“‰ Lowest Month -
$0.00
0 views
๐Ÿ‘๏ธ Most Views -
0

Projections

๐Ÿ”ฎ Next Month Estimate
$0.00
Based on current trend
๐Ÿ“… Annual Projection
$0.00
If current rate continues
๐Ÿ“Š Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

๐Ÿ’ก Future Feature: Full historical data (6+ months) will be available with a premium subscription. Currently showing all available data.

Monthly Breakdown

Based on view count changes between data points

Month Views Gained Estimated Earnings Growth
February 2026
2,604
2.60K
$3.91
March 2026
6,337
6.34K
$9.51
April 2026
6,683
6.68K
$10.02
May 2026
6,860
6.86K
$10.29
June 2026
6,351
6.35K
$9.53
July 2026
5,466
5.47K
$8.20
August 2026
6,993
6.99K
$10.49
September 2026
4,645
4.64K
$6.97
Total 45,939 $68.91

About These Estimates

Earnings use 2026 creator RPM data (revenue per 1,000 views, net of YouTube's 45% share). We blend per-category and Shorts-specific rates from public industry reporting.

Example net RPMs we apply:

  • Music: ~$0.80 / 1,000 views
  • People & Blogs: ~$1.20 / 1,000 views
  • Entertainment / Film: ~$1.50โ€“$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7โ€“$8 / 1,000 views
  • YouTube Shorts: ~$0.05 / 1,000 views

Real-world earnings vary with viewer geography, ad demand, audience demographics, YouTube Premium splits, and seasonality.